Upload 11 files

alexnet_cqt_2024-02-20_16-29-30/acc.csv

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+tra_acc_list,val_acc_list,lr_list
+65.12049031898593,64.65997770345597,0.001
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+95.89079258949714,92.3076923076923,0.0001
+96.2111714723499,93.19955406911929,0.0001
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+96.51762083855691,93.42251950947603,0.0001
+96.46190277197381,94.09141583054627,1e-05
+96.54547987184844,93.31103678929766,1e-05
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+96.58726842178577,93.64548494983278,1e-05
+96.68477503830617,93.19955406911929,1e-05

alexnet_cqt_2024-02-20_16-29-30/mat.csv

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+1.536748329621380749e-01,1.002227171492204964e-02,4.454342984409799359e-03,0.000000000000000000e+00
+4.454342984409799359e-03,3.095768374164810655e-01,2.227171492204899680e-03,2.561247216035634697e-02
+3.340757238307349736e-03,2.227171492204899680e-03,1.759465478841870933e-01,8.908685968819598719e-03
+0.000000000000000000e+00,2.004454342984409929e-02,2.227171492204899680e-03,2.772828507795100372e-01

alexnet_cqt_2024-02-20_16-29-30/result.log

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+              precision    recall  f1-score   support
+
+     m_chest      0.952     0.914     0.932       151
+     f_chest      0.906     0.906     0.906       307
+  m_falsetto      0.952     0.924     0.938       171
+  f_falsetto      0.889     0.926     0.907       269
+
+    accuracy                          0.916       898
+   macro avg      0.925     0.917     0.921       898
+weighted avg      0.917     0.916     0.917       898
+
+Backbone      : alexnet
+Spect type    : cqt
+Start time    : 2024-02-20 15:37:59
+Finish time   : 2024-02-20 16:29:18
+Time cost     : 3079s
+Full finetune : True
+Focal loss    : True

alexnet_cqt_2024-02-20_16-29-30/save.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:16f30866b3afd97b75cb92813ddca23e1d6ea8ad14ae2799093edc1480e3d97a
+size 58618479